CN104581162A - Method and apparatus for encoding and decoding image by using large transformation unit - Google Patents

Method and apparatus for encoding and decoding image by using large transformation unit Download PDF

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Publication number
CN104581162A
CN104581162A CN201510005662.2A CN201510005662A CN104581162A CN 104581162 A CN104581162 A CN 104581162A CN 201510005662 A CN201510005662 A CN 201510005662A CN 104581162 A CN104581162 A CN 104581162A
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unit
coding unit
depth
size
converter
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CN104581162B (en
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李泰美
韩宇镇
陈建乐
郑海庆
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Samsung Electronics Co Ltd
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Samsung Electronics Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/24—Systems for the transmission of television signals using pulse code modulation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/625—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/103—Selection of coding mode or of prediction mode
    • H04N19/107—Selection of coding mode or of prediction mode between spatial and temporal predictive coding, e.g. picture refresh
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/119—Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/12—Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
    • H04N19/122—Selection of transform size, e.g. 8x8 or 2x4x8 DCT; Selection of sub-band transforms of varying structure or type
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
    • H04N19/96—Tree coding, e.g. quad-tree coding

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  • Engineering & Computer Science (AREA)
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  • Signal Processing (AREA)
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  • General Physics & Mathematics (AREA)
  • Discrete Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)

Abstract

The invention provides a method and apparatus for encoding and decoding image by using a large transformation unit. Disclosed are an image encoding method and apparatus for encoding an image by grouping a plurality of adjacent prediction units into a transformation unit and transforming the plurality of adjacent prediction into a frequency domain, and an image decoding method and apparatus for decoding an image encoded by using the image encoding method and apparatus.

Description

By using the method and apparatus of large-scale converter unit Code And Decode image
The application is the applying date is on August 13rd, 2010, and application number is " 201080036020.4 ", and title is the divisional application of the application for a patent for invention of " by using the method and apparatus of large-scale converter unit Code And Decode image ".
Technical field
Exemplary embodiment relates to a kind of method and apparatus of Code And Decode image, more particularly, relates to a kind of coefficient by the image of pixel domain being transformed to frequency domain carries out Code And Decode method and apparatus to image.
Background technology
In order to carries out image compression, most image coding and decoding method and apparatus is come Image Coding by the coefficient image of pixel domain being transformed to frequency domain.Discrete cosine transform (DCT) as one of frequency transform techniques is widely used in the known technology in image and sound compression.The method for encoding images of DCT is used to comprise: to perform DCT to the image of pixel domain, generate discrete cosine coefficient, quantize the discrete cosine coefficient generated, perform entropy code to the discrete cosine coefficient generated.
Summary of the invention
Technical scheme
Exemplary embodiment provides a kind of method and apparatus by using more effective discrete cosine transform (DCT) image to be carried out to Code And Decode, also provides a kind of computer readable recording medium storing program for performing that it have recorded the program for performing described method.
Beneficial effect
According to one or more exemplary embodiment, converter unit can be set to larger than predicting unit, and perform DCT, thus can effectively compress image and encode.
Accompanying drawing explanation
Describe exemplary embodiment of the present invention in detail by referring to accompanying drawing, the above and other feature of exemplary embodiment will become clearer, wherein:
Fig. 1 is the block diagram of the image encoding apparatus according to exemplary embodiment;
Fig. 2 is the diagram of the image decoding apparatus according to another exemplary embodiment;
Fig. 3 is the level coding unit according to another exemplary embodiment;
Fig. 4 is the block diagram of the image encoder based on coding unit according to another exemplary embodiment;
Fig. 5 is the block diagram of the image decoder based on coding unit according to another exemplary embodiment;
Fig. 6 illustrates the maximum coding unit according to another exemplary embodiment, secondary coding unit and predicting unit;
Fig. 7 is the diagram of coding unit according to another exemplary embodiment and converter unit;
Fig. 8 A and Fig. 8 B illustrates the division shape of maximum coding unit, predicting unit and converter unit according to another exemplary embodiment;
Fig. 9 is the block diagram of the image encoding apparatus according to another exemplary embodiment;
Figure 10 is the diagram of converter;
Figure 11 A to Figure 11 C illustrates the type of the converter unit according to another exemplary embodiment;
Figure 12 illustrates the different converter units according to another exemplary embodiment;
Figure 13 is the block diagram of the image decoding apparatus according to another exemplary embodiment;
Figure 14 is the flow chart of the method for encoding images according to exemplary embodiment;
Figure 15 is the flow chart of the picture decoding method according to another exemplary embodiment.
Preferred forms
According to the one side of exemplary embodiment, provide a kind of method for encoding images, comprise following operation: converter unit is set by selecting multiple neighboring prediction unit; According to converter unit, described multiple neighboring prediction unit is transformed to frequency domain, and generated frequency component coefficient; Sampling frequency component coefficient; Entropy code is performed to the frequency component coefficient quantized.
Can perform based on the degree of depth of the grade of instruction size reduction the operation arranging converter unit, described size reduction performs from the maximum coding unit of current clip or photo current step by step to the secondary coding unit comprising described multiple neighboring prediction unit.
The operation that converter unit is set is performed by selecting the multiple neighboring prediction unit performing prediction according to same prediction mode.
Same prediction mode can be inter-frame forecast mode or intra prediction mode.
Method for encoding images also can comprise by repeating to different converter units the operation that aforesaid operations arranges optimal mapping unit, wherein, aforesaid operations comprises following operation: arrange converter unit by selecting multiple neighboring prediction unit, according to converter unit, described multiple neighboring prediction unit is transformed to frequency domain and generated frequency component coefficient, sampling frequency component coefficient also performs entropy code to the frequency component coefficient quantized.
According to the another aspect of exemplary embodiment, provide a kind of image encoding apparatus, comprising: converter, by using multiple neighboring prediction unit to arrange converter unit, according to converter unit, described multiple neighboring prediction unit being transformed to frequency domain and generated frequency component coefficient; Quantifying unit, sampling frequency component coefficient; Entropy code unit, performs entropy code to the frequency component coefficient quantized.
According to the another aspect of exemplary embodiment, providing a kind of picture decoding method, comprise following operation: according to converter unit, entropy decoding being carried out to the frequency component coefficient generated by being converted to frequency domain; Inverse quantization frequency component coefficient; The contravariant of frequency component coefficient is changed to pixel domain, and reconstructs the multiple neighboring prediction unit be included in converter unit.
According to the another aspect of exemplary embodiment, providing a kind of image decoding apparatus, comprising: entropy decoder, according to converter unit, entropy decoding being carried out to the frequency component coefficient generated by being converted to frequency domain; Inverse quantization unit, inverse quantization frequency component coefficient; Inverse transformer, is changed to pixel domain by the contravariant of frequency component coefficient, and reconstructs the multiple neighboring prediction unit be included in converter unit.
According to the another aspect of exemplary embodiment, provide a kind of computer readable recording medium storing program for performing that have recorded for carries out image Code And Decode method.
Embodiment
Hereafter, detailed description exemplary embodiment with reference to the accompanying drawings.In the exemplary embodiment, based on context, " unit " can represent or can not represent the size of unit, and " image " can represent rest image or the moving image (that is, video itself) of video.
Fig. 1 is the block diagram of the equipment 100 for coded image according to exemplary embodiment.
With reference to Fig. 1, equipment 100 comprises maximum coding unit division unit 110, coding depth determining unit 120, coded image data device 130 and coding information encoder 140.
Maximum coding unit division unit 110 can divide photo current or fragment based on the maximum coding unit of the coding unit as largest amount.That is, maximum coding unit division unit 110 can divide photo current or fragment to obtain at least one maximum coding unit.
According to exemplary embodiment, maximum coding unit and the degree of depth can be used to carry out presentation code unit.As mentioned above, the coding unit with largest amount in the coding unit of maximum coding unit instruction photo current, degree of depth instruction reduces coding unit and the size of secondary coding unit that obtains by level.Along with the degree of depth increases, coding unit can be reduced to minimum code unit from maximum coding unit in size, and wherein, the degree of depth of maximum coding unit is defined as minimum-depth, and the degree of depth of minimum code unit is defined as depth capacity.Because the size of coding unit reduces from maximum coding unit along with the degree of depth increases, therefore the secondary coding unit of the kth degree of depth can comprise multiple (k+n) (k and n be equal to or greater than 1 integer) the secondary coding unit of the degree of depth.
According to the increase of the size of the picture that will encode, higher image compression ratio can be obtained with larger coding unit to Image Coding.But, adopt larger coding unit if fixing, then consider the factor of continually varying characteristics of image, can not coded image efficiently.
Such as, when encoding to the smooth region in such as sea or sky, coding unit is larger, and compression ratio will more increase.But when encoding to the complex region of such as personage or building, coding unit is less, compression ratio will more increase.
Therefore, according to exemplary embodiment, different maximum image coding unit and different depth capacity are arranged to each picture or fragment.Due to the maximum quantity of the multiple that depth capacity presentation code unit can reduce, therefore the size of each minimum code unit be included in maximum image coding unit differently can be set according to depth capacity.
Coding depth determining unit 120 determines depth capacity.Depth capacity can be determined based on the calculating of rate distortion (R-D) cost.Can be each picture or fragment or each maximum coding unit and differently determine depth capacity.The depth capacity determined is provided to coding information encoder 140, is provided to coded image data device 130 according to the view data of maximum coding unit.
Depth capacity represents the coding unit (i.e. minimum code unit) with minimal size that can be included in maximum coding unit.In other words, minimum code unit can be divided into the secondary coding unit with different size according to different depth.With reference to Fig. 8 A to Fig. 8 B, this is described in detail after a while.In addition, can based on there is the processing unit prediction of different size or converting the secondary coding unit with different size be included in maximum coding unit.In other words, equipment 100 can operate based on having the multiple process that different size and difform processing unit perform for Image Coding.In order to encode to view data, execution is such as predicted, convert and the process of entropy code operates, and wherein, the processing unit with formed objects can be used for each operation, or the processing unit with different size can be used for each operation.
Such as, equipment 100 can select the processing unit different from coding unit to predict described coding unit.
When the size of coding unit is 2N × 2N (wherein N is positive integer), the processing unit for predicting can be 2N × 2N, 2N × N, N × 2N and N × N.In other words, the processing unit that can be divided into the shape of two based at least one having in the height and width of coding unit performs motion prediction.Hereafter, the processing unit as the basis of prediction is defined as " predicting unit ".
Predictive mode can be frame mode (intra-mode), inter-frame mode (inter-mode), skip mode and only to have specific size or shape predicting unit perform particular prediction mode at least one.Such as, can only to the shape of the size with 2N × 2N and N × N be foursquare predicting unit perform frame mode.In addition, only skip mode is performed to the predicting unit of the size with 2N × 2N.If multiple predicting unit is present in coding unit, then can select the predictive mode with minimum code error after prediction is performed to each predicting unit.
Selectively, equipment 100 can perform frequency translation based on the processing unit had with the size that varies in size of coding unit to view data.For the frequency translation in coding unit, can based on there is the size identical with the size of coding unit or performing frequency translation than the processing unit of the size slight greatly of coding unit.Hereafter, the processing unit as frequency translation basis is defined as " converter unit ".Frequency translation can be discrete cosine transform (DCT) or Karhunen-Loeve conversion (KLT).
Coding depth determining unit 120 can use the RD based on Lagrange's multiplier to optimize the secondary coding unit determining to be included in maximum coding unit.In other words, coding depth determining unit 120 can determine the shape of the multiple secondary coding unit divided from maximum coding unit, and wherein, described multiple secondary coding unit has different sizes according to their degree of depth.Coded image data device 130 carrys out output bit flow by carrying out coding based on the division shape determined by coding depth determining unit 120 (that is, dividing the shape of maximum coding unit) to maximum coding unit.
Coding information encoder 140 is encoded to the information relevant with the coding mode of the maximum coding unit determined by coding depth determining unit 120.In other words, coding information encoder 140 carries out coding by the information to the division shape about maximum coding unit, the information about depth capacity and the information about the coding mode of the secondary coding unit of each degree of depth and carrys out output bit flow.Information about the coding mode of secondary coding unit can comprise: the information of the information about the predicting unit of secondary coding unit, the information about the predictive mode of each predicting unit and the converter unit about secondary coding unit.
Because each maximum coding unit exists the secondary coding unit with different size, and be necessary for the information that each secondary coding unit determines about coding mode, therefore can be the information that a maximum coding unit is determined about at least one coding mode.
Equipment 100 can generate secondary coding unit according to the increase of the degree of depth by both height and width of maximum coding unit are divided into two.That is, when the size of the coding unit of the kth degree of depth is 2N × 2N, the size of the coding unit of (k+1) degree of depth is N × N.
Therefore, the equipment 100 according to exemplary embodiment can consider characteristics of image, determines the optimum division shape of each maximum coding unit based on the size of maximum coding unit and depth capacity.By considering that characteristics of image differently adjusts the size of maximum coding unit, and coming Image Coding by the secondary coding unit maximum coding unit being divided into different depth, can more effectively encode to the image with different resolution.
Fig. 2 is the block diagram of equipment 200 for decoding according to exemplary embodiment.
With reference to Fig. 2, equipment 200 comprises view data and obtains unit 210, coded message extraction unit 220 and image data decoding device 230.
View data acquisition unit 210 obtains the view data according to maximum coding unit by the bit stream that parsing is received by equipment 200, and view data is outputted to image data decoding device 230.View data obtains unit 210 can extract the maximum coding unit about photo current or fragment information from the head of photo current or fragment.In other words, view data obtains unit 210 and divides bit stream according to maximum coding unit, thus image data decoding device 230 can be decoded to view data according to maximum coding unit.
Coded message extraction unit 220 extracts the information about the division shape of maximum coding unit, depth capacity, maximum coding unit and the coding mode of secondary coding unit by the next head from photo current of bit stream that parsing is received by equipment 200.About dividing the information of shape and being provided to image data decoding device 230 about the information of coding mode.
Information about the division shape of maximum coding unit can comprise the information about having the secondary coding unit of different size according to the degree of depth be included in maximum coding unit, and the information about coding mode can comprise the information about the predicting unit according to secondary coding unit, the information about predictive mode and the information about converter unit.
Image data decoding device 230 recovers photo current by carrying out decoding based on the view data of the information extracted by coded message extraction unit 220 to each maximum coding unit.Image data decoding device 230 can be decoded to the secondary coding unit be included in maximum coding unit based on the information of the division shape about maximum coding unit.Decoding process can comprise prediction processing and the inverse transformation process of instruction infra-frame prediction and motion compensation.
In order to predict predicting unit, image data decoding device 230 can based on the information about predicting unit and the information and executing infra-frame prediction about predictive mode or inter prediction.Image data decoding device 230 also can perform inverse transformation based on the information of the converter unit about secondary coding unit to each secondary coding unit.
Fig. 3 illustrates the level coding unit according to exemplary embodiment.
With reference to Fig. 3, can comprise according to the level coding unit of exemplary embodiment the coding unit that wide × height is 64 × 64,32 × 32,16 × 16,8 × 8 and 4 × 4.Except the coding unit that these have perfect square shape, also can there is the coding unit that wide × height is 64 × 32,32 × 64,32 × 16,16 × 32,16 × 8,8 × 16,8 × 4 and 4 × 8.
With reference to Fig. 3, for the view data 310 that resolution is 1920 × 1080, the size of maximum coding unit is set to 64 × 64, and depth capacity is set to 2.
For the view data 320 that resolution is 1920 × 1080, the size of maximum coding unit is set to 64 × 64, and depth capacity is set to 3.For the view data 330 that resolution is 352 × 288, the size of maximum coding unit is set to 16 × 16, and depth capacity is set to 1.
When resolution is high or data volume is large, preferably the largest amount of (but unnecessary) coding unit is larger to increase compression ratio and accurately to reflect characteristics of image.Therefore, for the view data 310 with the resolution higher than view data 330 and view data 320,64 × 64 can be selected as the size of maximum coding unit.
The sum of the layer in depth capacity instruction level coding unit.Depth capacity due to view data 310 is 2, therefore view data 310 coding unit 315 can according to the increase of the degree of depth comprise major axis size be 64 maximum coding unit and major axis size be 32 and 16 secondary coding unit.
On the other hand, the depth capacity due to view data 330 is 1, therefore view data 330 coding unit 335 can according to the increase of the degree of depth comprise major axis size be 16 maximum coding unit and major axis size be the coding unit of 8.
But the depth capacity due to view data 320 is 4, therefore view data 320 coding unit 325 can according to the increase of the degree of depth comprise major axis size be 64 maximum coding unit and major axis size be 32,16,8 and 4 secondary coding unit.Owing to increasing along with the degree of depth, based on less secondary coding unit to Image Coding, the image that therefore exemplary embodiment is suitable for comprising more minor detail in scene is encoded.
Fig. 4 is the block diagram of the image decoder 400 based on coding unit according to exemplary embodiment.
The predicting unit of the frame mode in intra predictor generator 410 pairs of present frames 405 performs infra-frame prediction, and motion estimation unit 420 and motion compensation units 425 use the predicting unit of present frame 405 and reference frame 495 pairs of inter-frame modes to perform inter prediction and motion compensation.
Residual value is generated, by the residual value generated being exported the conversion coefficient for quantizing through converter 430 and quantifying unit 440 based on the predicting unit exported from intra predictor generator 410, motion estimation unit 420 and motion compensation units 425.
By the conversion coefficient of quantification being reverted to residual value through inverse quantization unit 460 and inverse frequency conversion device 470, the residual value recovered is exported as reference frame 495 by the residual value recovered through deblocking unit 480 and loop filtering unit 490 reprocessing.By the conversion coefficient quantized being exported as bit stream 455 through entropy coder 450.
In order to perform coding based on the coding method according to exemplary embodiment, the parts (that is, intra predictor generator 410, motion estimation unit 420, motion compensation units 425, converter 430, quantifying unit 440, entropy coder 450, inverse quantization unit 460, inverse frequency conversion device 470, deblocking unit 480 and loop filtering unit 490) of image encoder 400 are based on maximum coding unit, secondary coding unit, predicting unit and converter unit carries out image coded treatment according to the degree of depth.
Fig. 5 is the block diagram of the image decoder 500 based on coding unit according to exemplary embodiment.
Coded message needed for decoded coding unit and decoding through resolution unit 510, thus is resolved by bit stream 505.By through entropy decoder 520 and inverse quantization unit 530, the view data of coding is outputted as the data of inverse quantization, and by through inverse frequency conversion device 540, the view data of coding is resumed as residual value.By being added to the intra-prediction result of intra predictor generator 550 or adding the motion compensated result of motion compensation units 560 to, residual value is resumed according to coding unit.By through deblocking unit 570 and loop filtering unit 580, the coding unit of recovery is for predicting coding unit thereafter or picture thereafter.
In order to perform decoding based on the coding/decoding method according to exemplary embodiment, the parts (that is, resolution unit 510, entropy decoder 520, inverse quantization unit 530, inverse frequency conversion unit 540, intra predictor generator 550, motion compensation units 560, deblocking unit 570 and loop filtering unit 580) of image decoder 500 are based on maximum coding unit, secondary coding unit, predicting unit and converter unit carries out image decoding process according to the degree of depth.
Specifically, intra predictor generator 550 and motion compensation units 560 are by considering that maximum coding unit and the degree of depth determine predicting unit and predictive mode in secondary coding unit, and frequency inverse quantization unit 540 is by considering that the size of converter unit performs inverse transformation.
Fig. 6 illustrates the maximum coding unit according to exemplary embodiment, secondary coding unit and predicting unit.
Consider that characteristics of image uses level coding unit to perform Code And Decode according to the equipment 100 of exemplary embodiment and equipment 200.Maximum coding unit and depth capacity can be set adaptively according to characteristics of image, or maximum coding unit and depth capacity are differently set according to the requirement of user.
According to the level coding cellular construction 600 of exemplary embodiment illustrate height and width be 64 and depth capacity be 4 maximum coding unit 610.The degree of depth increases along the vertical axis of level coding cellular construction 600, and along with degree of depth increase, the height and width of secondary coding unit 620 to 650 reduce.Trunnion axis along level coding cellular construction 600 shows the predicting unit of maximum coding unit 610 and secondary coding unit 620 to 650.
Maximum coding unit 610 has the size (that is, height and width) of the degree of depth of 0 and the coding unit of 64 × 64.The degree of depth increases along vertical axis, and exist size be 32 × 32 and secondary coding unit 620, size that the degree of depth is 1 be 16 × 16 and secondary coding unit 630, size that the degree of depth is 2 be 8 × 8 and the degree of depth be 3 secondary coding unit 640 and size be 4 × 4 and the degree of depth be 4 secondary coding unit 650.Size is 4 × 4 and the secondary coding unit 650 that the degree of depth is 4 is minimum code unit, and minimum code unit can be divided into predicting unit, and each predicting unit is less than minimum code unit.
With reference to Fig. 6, the example of predicting unit is shown along trunnion axis according to each degree of depth.That is, the degree of depth is the predicting unit of the maximum coding unit 610 of 0 can be the predicting unit that size equals coding unit 610 (namely 64 × 64), or the predicting unit 612, the size that have that to be less than size be the size of the coding unit 610 of 64 × 64 and be 64 × 32 be 32 × 64 predicting unit 614 or size be 32 × 32 predicting unit 616.
The degree of depth is 1 and the predicting unit that size is the coding unit 620 of 32 × 32 can be the predicting unit that size equals coding unit 620 (namely 32 × 32), or the predicting unit 622, the size that have that to be less than size be the size of the coding unit 620 of 32 × 32 and be 32 × 16 be 16 × 32 predicting unit 624 or size be 16 × 16 predicting unit 626.
The degree of depth is 2 and the predicting unit that size is the coding unit 630 of 16 × 16 can be the predicting unit that size equals coding unit 630 (namely 16 × 16), or the predicting unit 632, the size that have that to be less than size be the size of the coding unit 630 of 16 × 16 and be 16 × 8 be 8 × 16 predicting unit 634 or size be 8 × 8 predicting unit 636.
The degree of depth is 3 and the predicting unit that size is the coding unit 640 of 8 × 8 can be the predicting unit that size equals coding unit 640 (namely 8 × 8), or the predicting unit 642, the size that have that to be less than size be the size of the coding unit 620 of 8 × 8 and be 8 × 4 be 4 × 8 predicting unit 644 or size be 4 × 4 predicting unit 646.
Finally, the degree of depth is 4 and the coding unit 650 that size is 4 × 4 is minimum code unit and is the coding unit of depth capacity, the predicting unit of coding unit 650 can be size be 4 × 4 predicting unit 650, have size be 4 × 2 predicting unit 652, to have size be the predicting unit 654 of 2 × 4 or have the predicting unit 656 that size is 2 × 2.
Fig. 7 illustrates coding unit according to exemplary embodiment and converter unit.
Utilize maximum coding unit itself according to the equipment 100 of exemplary embodiment and equipment 200 or utilize secondary coding unit to perform coding, described secondary coding unit is divided from maximum coding unit, and is equal to or less than maximum coding unit.
In the encoding process, the size for the converter unit of frequency translation is selected as the size being not more than corresponding coding unit.Such as, when coding unit 710 has the size of 64 × 64, the converter unit 720 of the size with 32 × 32 can be used to perform frequency translation.
Fig. 8 A and Fig. 8 B illustrates the division shape of coding unit, predicting unit and converter unit according to exemplary embodiment.
Fig. 8 A illustrates coding unit according to exemplary embodiment and predicting unit.
The left side of Fig. 8 A illustrates the division shape selected to encode to maximum coding unit 710 according to the equipment 100 of exemplary embodiment.Maximum coding unit 810 is divided into multiple shape by equipment 100, performs coding, and by based on R-D cost by the coding result of multiple division shape and compared to each otherly select optimum division shape.When itself to carry out coding according to maximum coding unit 810 be the best, can encode to maximum coding unit 810 and not need shown in Fig. 8 A and Fig. 8 B, to divide maximum coding unit 810.
With reference to the left side of Fig. 8 A, by being that the maximum coding unit 810 of 0 is divided into the secondary coding unit that the degree of depth is equal to or greater than 1 and encodes to maximum coding unit 810 by the degree of depth.That is, maximum coding unit 810 is divided into the secondary coding unit that 4 degree of depth are 1, and by all or part degree of depth be 1 secondary coding unit be divided into the secondary coding unit that the degree of depth is 2.
Be that the secondary coding unit being positioned at upper right side in the secondary coding unit of 1 and the secondary coding unit being positioned at lower left side are divided into the secondary coding unit that the degree of depth is equal to or greater than 2 by the degree of depth.The secondary coding unit that partial depth can be equal to or greater than 2 is divided into the secondary coding unit that the degree of depth is equal to or greater than 3.
The right side of Fig. 8 A illustrates the division shape of the predicting unit of maximum coding unit 810.
With reference to the right side of Fig. 8 A, can differently divide the predicting unit 860 of maximum coding unit 810 with maximum coding unit 810.In other words, the predicting unit of each secondary coding unit can be less than corresponding secondary coding unit.
Such as, the degree of depth is that the predicting unit being positioned at the secondary coding unit 854 of lower right side in the secondary coding unit of 1 can be less than coding unit 854.In addition, the degree of depth is that the predicting unit (814,816,850 and 852) of a part in the secondary coding unit 814,816,818,828,850 and 852 of 2 can be less than secondary coding unit 814,816,850 and 852 respectively.In addition, the degree of depth is that the predicting unit of the secondary coding unit 822,832 and 848 of 3 can be less than secondary coding unit 822,832 and 848 respectively.Predicting unit can have the shape that each secondary coding unit is divided into two on high direction or cross direction, or has the shape that each secondary coding unit is divided into four on the direction of height and width.
Fig. 8 B illustrates predicting unit according to exemplary embodiment and converter unit.
The left side of Fig. 8 B illustrates the division shape of the predicting unit of the maximum coding unit 810 shown in the right side of Fig. 8 A, and the right side of Fig. 8 B illustrates the division shape of the converter unit of maximum coding unit 810.
With reference to the right side of Fig. 8 B, the division shape of converter unit 870 can be differently set with predicting unit 860.
Such as, even if be that the predicting unit of the coding unit 854 of 1 is chosen as the shape that the height with coding unit 854 is divided into two by the degree of depth, also converter unit can be chosen as and there is the size identical with coding unit 854.Similarly, even if be that the predicting unit of the coding unit 814 and 850 of 2 is chosen as the shape that each height had in coding unit 814 and 850 is divided into two by the degree of depth, also converter unit can be chosen as and there is the size equal with each original size in coding unit 814 and 850.
Converter unit can be chosen as the size having and be less than predicting unit.Such as, when the predicting unit of the coding unit 852 by the degree of depth being 2 be chosen as there is coding unit 852 wide be divided into the shape of two time, converter unit can be chosen as and have the shape that coding unit 852 is divided into four on the direction of height and width, described shape has the size of the shape being less than predicting unit.
Fig. 9 is the block diagram of the image encoding apparatus 900 according to another exemplary embodiment.
With reference to Fig. 9, comprise converter 910, quantifying unit 920 and entropy coder 930 according to the image encoding apparatus 900 of this exemplary embodiment.
Converter 910 receives the graphics processing unit of pixel domain, and graphics processing unit is transformed to frequency domain.Converter 910 receives the multiple predicting unit comprising the residual value generated due to infra-frame prediction or inter prediction, and predicting unit is transformed to frequency domain.As the result transforming to frequency domain, the coefficient of generated frequency component.According to this exemplary embodiment, occur to the conversion of frequency domain by discrete cosine transform (DCT) or Karhunen-Loeve conversion (KLT), and as the result of DCT or KLT, generate the coefficient of frequency domain.Hereafter, the conversion to frequency domain can be DCT, but for one of ordinary skill in the art, the conversion to frequency domain can be comprise any conversion image of pixel domain being transformed to the conversion of frequency domain.
In addition, according to this exemplary embodiment, converter 910 arranges converter unit by combining multiple predicting unit, and performs conversion according to converter unit.This process is described in detail with reference to Figure 10, Figure 11 A, Figure 11 B and Figure 12.
Figure 10 is the diagram of converter 910.
With reference to Figure 10, converter 910 comprises selected cell 1010 and conversion performance element 1020.
Selected cell 1010 arranges converter unit by selecting multiple neighboring prediction unit.
Image encoding apparatus according to prior art performs infra-frame prediction or inter prediction according to the block (that is, according to predicting unit) with pre-sizing, and performs DCT based on the size of the size being less than or equal to predicting unit.In other words, DCT is performed according to the image encoding apparatus of prior art by using the converter unit being less than or equal to predicting unit.
But because many parts of headers are added to converter unit, along with the reduction of converter unit, extra expense increases.In order to address this problem, be converter unit according to the image encoding apparatus 900 of this exemplary embodiment by multiple neighboring prediction unit combination, and performing conversion according to the converter unit by combination producing.Neighboring prediction unit probably comprises similar residual value, if thus be that then a converter unit performs conversion thereon by neighboring prediction unit combination, highly can increase the compression ratio of encoding operation.
Such as, selected cell 1010 is selected to be combined into the neighboring prediction unit of a converter unit.This process is described in detail with reference to Figure 11 A to Figure 11 C and Figure 12.
Figure 11 A to Figure 11 C illustrates the type of the converter unit according to another exemplary embodiment.
With reference to Figure 11 A to Figure 11 C, the division shape obtained by wide point half by coding unit 1110 can be had relative to the predicting unit 1120 of coding unit 1110.Coding unit 1110 can be maximum coding unit, can be maybe the secondary coding unit with the size being less than maximum coding unit.
As illustrated in figure 11 a, the large I of converter unit 1130 is less than predicting unit 1120, or as shown in Figure 11 B, the size of converter unit 1140 can equal predicting unit 1120.In addition, as shown in fig. 11c, the size of converter unit 1150 can be greater than predicting unit 1120.That is, in converter unit 1130 to 1150 and predicting unit 1120, it doesn't matter, converter unit 1130 to 1150 can be set.
In addition, Figure 11 C illustrates the example being arranged predicting unit 1120 by the combination multiple predicting unit 1120 be included in coding unit 1110.But in the mode multiple predicting unit being set to a converter unit, converter unit can be set to be greater than coding unit, wherein, described multiple predicting unit is not be included in a coding unit but be included in multiple coding unit.In other words, as described in reference to Figure 11 A to Figure 11 C, converter unit can be set to the size being equal to or less than coding unit, or be greater than the size of coding unit.That is, converter unit can be set while it doesn't matter for converter unit and predicting unit and coding unit.
Although Figure 11 A to Figure 11 C illustrates the example of the converter unit with square form.But according to the method for bordering compounding predicting unit, converter unit can have rectangular in form.Such as, be not set to that there is the rectangular in form as shown in Figure 11 A to Figure 11 C in predicting unit, and when being set to have by coding unit 1110 quartering is obtained four square forms, combine upper and lower predicting unit or left and right predicting unit, thus converter unit can have horizontal side or vertical side is long rectangular in form.
With reference to Figure 10, selected cell 1010 selects the standard of neighboring prediction unit not limit.But according to exemplary embodiment, selected cell 1010 can select converter unit according to the degree of depth.As mentioned above, the grade of size reduction that performs step by step from the maximum coding unit of current clip or photo current to secondary coding unit of degree of depth instruction.As above with reference to the description of Fig. 3 to Fig. 6, along with the degree of depth increases, the size of secondary coding unit reduces, thus the predicting unit be included in secondary coding unit also reduces.In this case, if perform conversion according to the converter unit being less than or equal to predicting unit, then the compression ratio of image coding operation is caused to decline because header is added to each converter unit.
Therefore, for the secondary coding unit of the degree of depth of predetermined value, preferably the predicting unit be included in secondary coding unit combines and is set to converter unit by (but unnecessary), then performs conversion to it.For this reason, selected cell 1010 arranges converter unit based on the degree of depth of secondary coding unit.Such as, the degree of depth of the coding unit 1110 in Figure 11 C is greater than k, predicting unit 1120 is also set to converter unit 1150 by selected cell 1010 combined prediction unit 1120.
In addition, according to another exemplary embodiment, the selected cell 1010 multiple neighboring prediction unit performing prediction according to same prediction mode capable of being combined, and described multiple predicting unit can be set to a converter unit.Selected cell 1010 combines the neighboring prediction unit performing prediction according to infra-frame prediction or inter prediction, then described neighboring prediction unit is set to a converter unit.Because the neighboring prediction unit performing prediction according to same prediction mode probably comprises similar residual value, therefore can be that then converter unit performs conversion to described neighboring prediction unit by neighboring prediction unit combination.
When selected cell 1010 arranges converter unit, neighboring prediction unit is transformed to frequency domain according to converter unit by conversion performance element 1020.Conversion performance element 1020 performs DCT according to converter unit to neighboring prediction unit, and generates discrete cosine coefficient.
Referring back to Fig. 9, quantifying unit 920 quantizes the frequency component coefficient (such as, discrete cosine coefficient) generated by converter 910.Quantifying unit 920 can quantize the discrete cosine coefficient of input according to predetermined quantitative step-length (quantization step).
Entropy coder 930 performs entropy code to the frequency component coefficient quantized by quantifying unit 920.Entropy coder 930 comes to perform entropy code to discrete cosine coefficient by using content-adaptive change algorithm coding (CABAC) or content-adaptive variable-length encoding (CAVLC).
Image encoding apparatus 900 is by repeating DCT, quantification and entropy code to determine optimal mapping unit to different converter unit.Can be recycled and reused for and select the process of neighboring prediction unit to determine optimal mapping unit.Can consider that the calculating of RD cost is to determine optimal mapping unit, this is described in detail with reference to Figure 12.
Figure 12 illustrates the different converter units according to another exemplary embodiment.
With reference to Figure 12, image encoding apparatus 900 pairs of different coding unit repeat encoding operation.
As shown in figure 12, can predict based on predicting unit 1220 pairs of coding units 1210 with the size being less than coding unit 1210 and encode.Conversion is performed to the residual value that the result by prediction generates, as shown in Figure 12, DCT can be performed based on different converter unit to residual value here.
Converter unit 1230 shown in first has the size identical with coding unit, and has all predicting unit be included in coding unit 1210 by combination and the size obtained.
Converter unit 1240 shown in second has the size obtained by wide point half by coding unit 1210 respectively, and the size obtained by every two predicting unit adjacent one another are on combination vertical direction.
Converter unit 1250 shown in 3rd has the size by being obtained by the high score of coding unit 1,210 half respectively, and the size obtained by every two predicting unit adjacent one another are on combined horizontal direction.
When illustrating that converter unit 1260 uses the converter unit 1260 shown in the 4th when performing and convert based on the 4th with the size identical with predicting unit 1220.
Figure 13 is the block diagram of the image decoding apparatus 1300 according to another exemplary embodiment.
With reference to Figure 13, comprise entropy decoder 1310, inverse quantization unit 1320 and inverse transformer 1330 according to the image decoding apparatus 1300 of this exemplary embodiment.
Entropy decoder 1310 performs entropy decoding about predictive encoding unit to frequency component coefficient.As above with reference to the description of Figure 11 A to Figure 11 C and Figure 12, predetermined map unit can be the converter unit generated by combining multiple neighboring prediction unit.
As above with reference to the description of image encoding apparatus 900, by generating converter unit according to degree of depth combination neighboring prediction unit, or generate converter unit by multiple neighboring prediction unit that combination performs prediction according to same prediction mode (namely according to intra prediction mode or inter-frame forecast mode).
Multiple predicting unit can be included in multiple coding unit not included in a coding unit.In other words, as above with reference to the description of Figure 11 A to Figure 11 C, the converter unit of being decoded by entropy decoder 1310 entropy can be set to the size being equal to or less than coding unit, maybe described converter unit can be set to the size being greater than coding unit.
In addition, as above with reference to the description of Figure 12, converter unit can be process by repeated combination multiple neighboring prediction unit and the optimal mapping unit selected by repeating conversion, quantification and entropy code to different converter unit.
Inverse quantization unit 1320 carries out inverse quantization to the frequency component coefficient of being decoded by entropy decoder 1310 entropy.
Inverse quantization unit 1320 carries out inverse quantization and entropy decoding according to the quantization step of the coding for converter unit to frequency component coefficient.
Frequency component coefficient inverse transformation and inverse are turned to pixel domain by inverse transformer 1330.Inverse transformer can perform inverse DCT, the then converter unit of restructural pixel domain to the discrete cosine coefficient (the frequency component coefficient namely after inverse quantization) after inverse quantization.The converter unit of reconstruct can comprise neighboring prediction unit.
Figure 14 is the flow chart of the method for encoding images according to exemplary embodiment.
With reference to Figure 14, in operation 1410, image encoding apparatus arranges converter unit by selecting multiple neighboring prediction unit.Image encoding apparatus can select multiple neighboring prediction unit according to the degree of depth, maybe can select the multiple neighboring prediction unit performing prediction according to same prediction mode.
In operation 1420, adjacent cells is transformed to frequency domain according to the converter unit arranged in operation 1420 by image encoding apparatus.Image encoding apparatus bordering compounding predicting unit, performs DCT to neighboring prediction unit, thus generates discrete cosine coefficient.
In operation 1430, image encoding apparatus quantizes the frequency component coefficient generated in operation 1420 according to quantization step.
In operation 1440, image encoding apparatus performs entropy code to the frequency component coefficient quantized in operation 1430.Image encoding apparatus performs entropy code by using CABAC or CAVLC to discrete cosine coefficient.
The operation that optimal mapping unit to be set to operation 1440 by repeating operation 1410 to different converter units also can be comprised according to the method for encoding images of another exemplary embodiment.That is, by as shown in figure 12 to different converter units repeat conversion, quantize and entropy code, optimal mapping unit can be set.
Figure 15 is the flow chart of the picture decoding method according to another exemplary embodiment.
With reference to Figure 15, in operation 1510, image decoding apparatus performs entropy decoding about predetermined map unit to frequency component coefficient.Frequency component coefficient can be discrete cosine coefficient.
In operation 1520, image decoding apparatus carries out inverse quantization to the frequency component coefficient of decoding at operation 1510 entropy.Image decoding apparatus carries out inverse quantization by using the quantization step being used for encoding operation to discrete cosine coefficient.
In operation 1530, the frequency component coefficient contravariant at operation 1520 inverse quantization is changed to pixel domain by image decoding apparatus, then restructuring transformation unit.The converter unit of reconstruct is set by combining multiple neighboring prediction unit.As mentioned above, by arranging converter unit according to degree of depth combination neighboring prediction unit, or converter unit is set by the neighboring prediction unit that combination performs prediction according to same prediction mode.
According to one or more exemplary embodiment, converter unit can be set to be greater than predicting unit, and perform DCT thus image can be effectively incompressible and encode.
Exemplary embodiment also can be implemented as the computer-readable code on computer readable recording medium storing program for performing.Computer readable recording medium storing program for performing is any data storage device that can store data, can by computer system reads after described data.The example of computer readable recording medium storing program for performing comprises read-only memory (ROM), random access memory (RAM), CD-ROM, tape, floppy disk and optical data memory.The computer that computer readable recording medium storing program for performing also connects by network is distributed, thus computer-readable code can be stored in a distributed fashion and perform.
Such as, according to the bus of each each unit comprised in the equipment be connected to as shown in Fig. 1-2, Fig. 4-5, Fig. 9-10 and Figure 14 in the image encoding apparatus of one or more exemplary embodiment, image decoding apparatus, image encoder and image decoder and at least one processor being connected to bus.In addition, the memory being connected at least one processor be connected with bus is comprised, with the message of the message of memory command, reception or generation and fill order according to the image encoding apparatus of one or more exemplary embodiment, image decoding apparatus, image encoder and each in image decoder.
Although show with reference to exemplary embodiment of the present and describe the present invention, it will be appreciated by the skilled addressee that when not departing from the spirit and scope of the present invention that claim limits, the various changes in form and details can be made it.It is only descriptive instead of for limiting object that exemplary embodiment should be understood to.Therefore, scope of the present invention is not limited by detailed description of the present invention, but is defined by the claims, and all differences in described scope will be interpreted as comprising in the present invention.

Claims (4)

1., for the method to image decoding, comprising:
By performing to the bit stream based on encoding unit encodes the conversion coefficient that entropy decoding obtains the quantification of the converter unit in coding unit;
By bringing to the conversion coefficient execution inverse quantization quantized and contravariant the residual error obtaining converter unit;
Use at least one predicting unit be included in coding unit to perform prediction to produce predictive factor, and use described residual sum predictive factor to reconstruct coding unit,
Wherein, the size of the converter unit divided from coding unit is determined independent of the size of at least one predicting unit described in coding unit,
Described image is divided into multiple maximum coding unit,
Maximum coding unit is divided into one or more coding unit with the degree of depth with being layered according to division information, wherein, the described degree of depth comprises current depth and at least one more in low depth,
When division information pointer divides current depth, the coding unit of current depth is divided into four square numbering unit of more low depth independent of adjacent encoder unit,
When division information pointer is not to when more low depth divides, obtain at least one predicting unit from the coding unit of more low depth.
2. the method for claim 1, wherein, when being set in 16 × 16,32 × 32 and 64 × 64 when the size of maximum coding unit, the size of coding unit is confirmed as one in 8 × 8,16 × 16,32 × 32 and 64 × 64, carries out division to obtain at least one predicting unit described by the ratio according to 1:1 at least one in the height of coding unit and width.
3. the method for claim 1, wherein the size of converter unit and the size of predicting unit are all less than or equal to the size of coding unit.
4., for the equipment to image decoding, comprising:
Entropy decoding unit, is configured to by performing to the bit stream based on encoding unit encodes the conversion coefficient that entropy decoding obtains the quantification of the converter unit in coding unit;
Inverse quantization and inverse transformation unit, be configured to by bringing to the conversion coefficient execution inverse quantization quantized and contravariant the residual error obtaining converter unit;
Decoder, is configured to use at least one predicting unit be included in coding unit to perform prediction to produce predictive factor, and uses described residual sum predictive factor to reconstruct coding unit,
Wherein, the size of the converter unit divided from coding unit is determined independent of the size of at least one predicting unit described in coding unit,
Described image is divided into multiple maximum coding unit,
Maximum coding unit is divided into one or more coding unit with the degree of depth with being layered according to division information, wherein, the described degree of depth comprises current depth and at least one more in low depth,
When division information pointer divides current depth, the coding unit of current depth is divided into four square numbering unit of more low depth independent of adjacent encoder unit,
When division information pointer is not to when more low depth divides, obtain at least one predicting unit from the coding unit of more low depth.
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